pm4py.algo.conformance.footprints.variants.log_extensive module#
- class pm4py.algo.conformance.footprints.variants.log_extensive.Outputs(*values)[source]#
Bases:
Enum- DFG = 'dfg'#
- SEQUENCE = 'sequence'#
- PARALLEL = 'parallel'#
- START_ACTIVITIES = 'start_activities'#
- END_ACTIVITIES = 'end_activities'#
- ACTIVITIES = 'activities'#
- SKIPPABLE = 'skippable'#
- ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'#
- MIN_TRACE_LENGTH = 'min_trace_length'#
- TRACE = 'trace'#
- class pm4py.algo.conformance.footprints.variants.log_extensive.ConfOutputs(*values)[source]#
Bases:
Enum- FOOTPRINTS = 'footprints'#
- START_ACTIVITIES = 'start_activities'#
- END_ACTIVITIES = 'end_activities'#
- MIN_LENGTH_FIT = 'min_length_fit'#
- IS_FOOTPRINTS_FIT = 'is_footprints_fit'#
- pm4py.algo.conformance.footprints.variants.log_extensive.apply(log_footprints: Dict[str, Any], model_footprints: Dict[str, Any], parameters: Dict[Any, Any] | None = None) Dict[str, Any][source]#
Apply footprints conformance between a log footprints object and a model footprints object
- Parameters:
log_footprints – Footprints of the log (entire log)
model_footprints – Footprints of the model
parameters – Parameters of the algorithm
- Returns:
Dictionary containing all the violations
- Return type:
violations